Three Corrected Score Tests for Generalized Linear Models with Dispersion Covariates

We develop three corrected score tests for generalized linear models with dispersion covariates, thus generalizing the results of Cordeiro , Ferrari and Paula (1993) and Cribari-Neto and Ferrari (1995) . We present, in matrix notation, general formulae for the coefficients which define the corrected statistics. The formulae only require simple operations on matrices and can be used to obtain analytically closed-form corrections for score test statistics in a variety of special generalized linear models with dispersion covariates. They also have advantages for numerical purposes since our formulae are readily computable using a language supporting numerical linear algebra. Two examples, namely, iid sampling without covariates on the mean or dispersion parameter oand one-way classification models, are given. We also present some simulations where the three corrected tests perform better than the usual score test, the likelihood ratio test and its Bartlett corrected version. Finally, we present a numerical example for a data set discussed by Simonoff and Tsai (1994) .     

Fiscal stabilizations: When do they work and why

This paper studies the determinants and channels through which fiscal contractions influence the dynamics of the debt-to-GDP ratio and GDP growth. Using data from a panel of OECD countries, the paper shows that the success of fiscal adjustments in decreasing the debt-to-GDP ratio depends on the size of the fiscal contraction and less on its composition. The rate of growth of output matters too, but higher GDP growth does not drive the success of a fiscal stabilization. In contrast, whether a fiscal adjustment is expansionary depends largely on the composition of the fiscal maneuvre. In particular, stabilizations implemented by cutting public spending lead to higher GDP growth rates. The effects of the composition on growth work mostly through the labor market rather than through agents’ expectations of future fiscal policy. Finally, the evidence suggests that successful and expansionary fiscal contractions are not the result of accompanying expansionary monetary policy or exchange rate devaluations.     

Investigating the moderating effect of information sources on cruise tourist behaviour in a port of call

The aim of the study is to examine how destination knowledge acquired by cruisers through different information sources (online versus others) can moderate destination image formation and the relationship of image–satisfaction–behavioural intentions in a port of call. A multiple group analysis with partial least square method was carried out using data collected from a major tourism destination in Spain: Valencia. The findings revealed knowledge acquired through different information sources is a moderator of the image–satisfaction and satisfaction–behavioural intention relationships. The destination image formation is also significantly different from one group to the other. The findings of this study have a number of practical implications.     

A Comparison of Consensus and BVAR Macroeconomic Forecasts

This paper provides a one-month-ahead, macroeconomic, Bayesian Vector Autoregressive (BVAR) forecasting approach that offers several advantages over conventional short-term forecasting procedures. In particular, it produces more accurate forecasts than the Bloomberg consensus forecasts, on average, for 20 major macroeconomic variables. In addition to a quantitative comparison of BVAR and Bloomberg consensus forecast, the paper focuses on five important areas of macroeconomic forecasting: the role of short-term macroeconomic forecasting, the importance of a robust forecasting approach, the importance of timing of data releases, forecast evaluation criteria, and the importance of changing model specifications as conditions warrant.     

Financial Education Interventions Targeting Immigrants and Children of Immigrants: Results from a Randomized Control Trial

We document that immigrants in the United States differ from natives in several aspects relevant for their financial decision making. Based on these differences, we designed novel financial education materials targeted at US immigrants and their children and evaluated their effectiveness using a randomized control trial. To the best of our knowledge, this is the first rigorous evaluation of financial education programs targeted at this population. Compared to a control group, the groups that received the one‐time educational intervention were more likely to correctly answer financial knowledge questions immediately after the intervention. The estimated effects of this one‐time intervention on knowledge were large, but most of them faded away after six months. Moreover, we find little effect of the treatments on intended financial behavior measures, both immediately and six months later. Our results point to the efficacy of this type of educational material in informing immigrants and their children about important financial information that they are unfamiliar with, including information related to their immigrant status. However, they also suggest that a priority for future research should be to test whether repeated opportunities for learning can increase financial knowledge retention and lead to behavior change.     

IMF concern for reputation and conditional lending failure: Theory and empirics

In this paper we suggest that the dual role played by the IMF, as a creditor and as a monitor of economic reforms, might explain the lack of credibility of the Fund threat of sanctioning non-compliance with conditionality. Specifically, we show that the IMF's desire to preserve its reputation as a good monitor may distort its lending decisions towards some laxity. Moreover, such distortionary incentives may be exacerbated by the length of the relationship between a country and the Fund. Estimating a dynamic panel of 53 middle-income countries, for the period 1982–2001, we find that a longer relationship does increase IMF disbursements.     

The Trade Competitiveness of Southern Emerging Economies: A Multidimensional Approach Through Cluster Analysis

This paper investigates the trade competitiveness of the new emerging Southern economies – China, India, Brazil and South Africa (CIBS) – with respect to their main global partners. Starting from the commonly held view that countries with trade patterns similar to those of emerging countries are likely to suffer losses, we propose a multidimensional approach based on cluster analysis, both crisp and fuzzy, as an alternative strategy for assessing similarity in global trade patterns. On the basis of key trade characteristics drawn from the diverse strands of trade theory, we assess the relative position of CIBS within global trade patterns and their evolution over time. Unlike previous studies, our results do not support the hypothesis of the presence of a competitiveness threat from Southern emerging countries towards the main industrialised economies.     

How does the entrepreneurial orientation of scientists affect their scientific performance? Evidence from the quadrant model

In order to identify the effect of academic entrepreneurship on science, this work compares the publication performance of entrepreneurial scientists with that of conventional scientists. Using Stokes's ‘quadrant model’, this paper examines how the entrepreneurial orientation affects scientific performance. The results on advanced materials research in Japan found that (i) entrepreneurial scientists publish more papers than conventional scientists do; (ii) the papers of conventional scientists demonstrate better citation performance than those of entrepreneurial scientists do, on average; (iii) coming to the top-cited papers, entrepreneurial scientists show higher propensity for publishing high-impact papers than conventional scientists do; and (iv) the portfolio interdisciplinarity of papers authored by entrepreneurial scientists is higher than that of conventional scientists. Although the influence of academic entrepreneurship on scientific performance is still unclear, our findings suggest that entrepreneurial scientists could make a relatively large contribution to furthering the scientific frontier by relying on innovation rather than convention.     

Trade Costs in Bilateral Trade Flows: Heterogeneity and Zeroes in Structural Gravity Models

This paper contributes to the explanation of international trade flows with structural gravity models taking heterogeneity and excess zeroes into account. We introduce a more general hypothesis on the structure of trade costs in Helpman et al. (The Quarterly Journal of Economics, 2008; 123 , 2, 441) theoretical model that is capable of explaining over‐dispersion in trade data. Zero‐inflated negative binomial models are considered to analyse the impact of trade costs, measured in terms of geographical distance and contiguity effects. An analysis related to a sample of 37 countries' trade flows, with heterogeneous effects across sectors and trade‐integrated areas, such as APEC and EU, is presented. The size of exporting and destination economies and cultural and institutional factors are considered as influencing both the extensive and the intensive margin of trade.